Paper Info
Title
Modeling Collaborations Content in Social Network Analysis
Abstract
This paper presents a methodology and a software application to support the analysis of collaborations and collaboration content in scientific communities. High quality terminology extraction, semantic graphs and clustering techniques are used to identify the relevant research topics. Social analysis tools are then used to study the emergence of interests around certain topics, the evolution of collaborations around these themes, and to identify potential for better cooperation.
Year
DOI
Venue
2008
10.1109/WIIAT.2008.119
Web Intelligence
Keywords
Field
DocType
scientific community,modeling collaborations content,collaboration content,better cooperation,software application,relevant research topic,social analysis tool,semantic graph,high quality terminology extraction,clustering technique,social network analysis,certain topic,content management,graph theory,terminology,information analysis,clustering algorithms,algorithm design and analysis,web 2 0,groupware
Data science,Data mining,Terminology,Computer science,Collaborative software,Social network analysis,Software,Web 2.0,Content management,Cluster analysis,Terminology extraction
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Alessandro Cucchiarelli122636.38
paola velardi21553163.66
Fulvio D'antonio37812.08
Mirco Curzi400.68